CN201909667U - Running status voice and local electro-discharge online monitoring and analyzing device of transformer - Google Patents

Running status voice and local electro-discharge online monitoring and analyzing device of transformer Download PDF

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Publication number
CN201909667U
CN201909667U CN2010206437211U CN201020643721U CN201909667U CN 201909667 U CN201909667 U CN 201909667U CN 2010206437211 U CN2010206437211 U CN 2010206437211U CN 201020643721 U CN201020643721 U CN 201020643721U CN 201909667 U CN201909667 U CN 201909667U
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CN
China
Prior art keywords
transformer
sound
voice
collecting unit
running status
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CN2010206437211U
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Chinese (zh)
Inventor
吕钢
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鞍钢集团矿业公司
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Priority to CN2010206437211U priority Critical patent/CN201909667U/en
Application granted granted Critical
Publication of CN201909667U publication Critical patent/CN201909667U/en

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Abstract

The utility model relates to a running voice and local electro-discharge online monitoring and analyzing device of a transformer. The device consists of a computer, a central processing unit, a transformer voice sensor acquiring unit arranged in the transformer, a field voice sensor acquiring unit arranged out of the transformer and a high-frequency acoustic sensor arranged out of an oil tank of the transformer, wherein the computer is internally provided with a graphical display function module, a tendency analysis function module, a data report function module and an alarming function module, the central processing unit consists of a central processor which simplifies an order set RISC frame and a real-time operation system, and the transformer voice sensor acquiring unit and the field voice sensor acquiring unit are ultra-wide frequency quake-proof optical fiber transformer voice sensors. The device can be used for timely displaying the voice numerical value and the local electro-discharge ultrasonic graph when the transformer runs, and can be used for indicating and recording the abnormal condition of the transformer.

Description

Transformer running status sound, partial discharge monitoring and analytical equipment

Technical field

The utility model belongs to the supervisory control of substation technical field, particularly a kind of transformer operation sound, partial discharge monitoring and analytical equipment.

Background technology

Sound is a whether normal main performance of reflection transformer operation.When transformer normally moves, should send uniformly " drone " sound, if this is because the sound that the vibration of electromagnetic attracting force siliconized plate that alternating current produces during by transformer coil and transformer self is sent. produce inhomogeneous or other different sound, all belong to abnormal.

Partial discharge of transformer is an important symbol of reflection high voltage electric equipment state.Because a lot of faults all produce shelf depreciation.Generally speaking, if found characteristic gas in the transformer oil, show that then there has been more serious shelf depreciation in its inside.For example, core inductance is bad can to cause the generation discharge, also can cause 2 ground connection unshakable in one's determination when fault is serious, even the power frequency short-circuit current occur.Therefore, shelf depreciation can effectively reflect the insulation status of transformer inside, and concerning the large-scale power transformer monitoring reliability of high-pressure system and extra-high voltage system, partial discharge monitoring is very effective.

Transformer sound increases than usual, and cacophonia has following reason:

1. electrical network generation superpotential. electrical network generation single-phase earthing or when producing resonance overvoltage all can make the sound of transformer increase.

2. during the transformer overload, will make transformer send heavy " drone " sound.

3. transformer has noise, if might be owing to the loosening vibration that causes of some parts on the transformer. obviously increase with transformer sound, and during the current/voltage Non Apparent Abnormality, then may be inner folder or the screw loosening that compresses iron core, siliconized plate vibration increase is caused.

4. transformer has discharging sound, transformer has the discharging sound of " pipa ", if under night or rainy weather, see near the bushing shell for transformer blue corona or spark are arranged, if the filthy serious or equipment ply-yarn drill loose contact of porcelain spare then is described. the transformer internal discharge then is to discharge between earth-free parts static discharge or coil turn, or because shunting switch loose contact discharge.

5. transformer has cracker, illustrates that transformer inside or surface insulation puncture, and should immediately transformer be stopped using and check.

6. transformer has the water boil, and temperature sharply changes, and oil level raises, and then should be judged as seriously overheated that Transformer Winding is short-circuited or the shunting switch loose contact causes, should immediately transformer be stopped using and check.

By to above analysis of phenomenon as can be seen a lot of unusual service conditions of transformer can cause the sound of transformer to become big, judge so we can gather the state that the voice signal of transformer carries out transformer in real time, judge the internal fault or the latency fault of transformer with this.

Summary of the invention

The purpose of this utility model provides a kind of transformer running status sound, partial discharge monitoring and analytical equipment, the ultrasound wave figure that can show operating sound numerical value of transformer and shelf depreciation in real time, and can provide indication and record to the abnormality of transformer.

The purpose of this utility model realizes by following technical proposals.

Transformer running status sound of the present utility model, partial discharge monitoring and analytical equipment, it is characterized in that by computing machine, the CPU (central processing unit) that is connected of computing machine therewith, respectively therewith CPU (central processing unit) be connected be located at transformer sound transducer collecting unit in the transformer, be located at the outer acoustic scene sound sensor collecting unit of transformer and be located at the outer high frequency acoustic sensor of oil tank of transformer and form, be provided with the graphical display function module in the described computing machine, the trend analysis functional module, data sheet functional module and warning function module, described CPU (central processing unit) is made of a kind of central processing unit and real time operating system of reduced instruction set computer RISC framework.

Described transformer sound transducer collecting unit is super broadband antidetonation type optical fiber transformer sound transducer collecting unit, and described acoustic scene sound sensor collecting unit is super broadband antidetonation type optical fiber transformer sound transducer collecting unit.

The current/voltage-converted type sensor that described high frequency acoustic sensor is permalloy or ferrite core.

Principle of work of the present utility model: described transformer sound transducer collecting unit is gathered the voice signal of the running status of transformer in real time, described acoustic scene sound sensor collecting unit is gathered near the voice signal the transformer scene, near the voice signal of the running status of the transformer that collects and the transformer scene voice signal passes to described CPU (central processing unit) simultaneously, the reduced instruction set computer RISC of this CPU (central processing unit) is by the analysis to two kinds of signals, filter on-the-spot background sound, obtain the sound of transformer running status thus.The high frequency acoustic sensor gather partial discharge of transformer or arc discharge in real time and produced the transient state voice signal pass to described CPU (central processing unit).CPU (central processing unit) passes to described computing machine with the transient state voice signal that sound and partial discharge of transformer or arc discharge produced of resultant transformer running status, after graphical display function module in the machine, trend analysis functional module, data sheet functional module and warning function module are handled respectively as calculated, carry out graphic presentation, trend analysis, organized data form respectively, in time send alerting signal when finding alarm condition.

Partial discharge monitoring technology of the present utility model is placed on fuel tank outside according to the ultrasound wave principle with the high frequency acoustic sensor by advanced person's sensing technology and electronic technology, so that measure shelf depreciation or arc discharge produced transient state voice signal.Partial discharge monitoring will adopt high-performance sensors, sensor is the current/voltage-converted type sensor of permalloy or ferrite core, because this sensor both can effectively be isolated transducing signal and primary side, again can be the very sensitive ultrasonic signal that collects.Native system by super broadband antidetonation type optical fiber acoustic sensor gather send when transformer normally moves " drone " sound and gather near the sound of transformer by auxiliary super broadband antidetonation type optical fiber acoustic sensor.Near the sound of transformer that utilizes auxiliary super broadband antidetonation type optical fiber acoustic sensor to collect can filter extraneous background sounds such as thunder and lightning.By optical fiber two kinds of voice signals are sent to CPU (central processing unit), CPU (central processing unit) stores this signal, and by Computer Analysis and storage, real-time curve can draw simultaneously.

When transformer puts into operation, voice signal when at first writing down one section normal operation is also stored, this section voice signal is thought normal voice signal, afterwards voice signal that collects in real time and the information that stores are before this compared and Fuzzy Processing, judge the operating condition of transformer with this.Partial discharge monitoring to transformer adopts localization by ultrasonic, because ultrasound wave can transmit and radiation to all directions, sound can transmit by most of insulating material, so the attenuation degree of acoustic energy will be the relation of approximate index with frequency.Insulating material can be regarded as the rudimentary wave filter of acoustic energy.The original frequency of sound wave and amplitude depend primarily on the character of discharge source.Therefore, the inevitable distance along with discharge source of acoustic frequency and acoustic energy amplitude increases and reduces.Partial discharge monitoring is based on this principle.The partial discharge monitoring technology is by advanced person's sensing technology and electronic technology, and it is outside so that measure shelf depreciation or arc discharge produced transient state voice signal according to the ultrasound wave principle high frequency acoustic sensor to be placed on fuel tank.The sound of shelf depreciation is passed to CPU (central processing unit) by the high frequency acoustic sensor and is carried out analyzing and processing.Because transformer still can continue operation if the partial discharge quantity of several thousand pC occurs.If but partial discharge quantity reaches 10O00pC when above, shows that then transformer insulated defective is very serious.But shelf depreciation still has certain hour to insulation breakdown evolution process appears from transformer inside.According to this differentiation, the development trend of the Threshold Alerts by partial discharge monitoring and the historical data of apparent discharge capacity can be judged the insulation status of transformer inside.Threshold Alerts be exactly when the amplitude of high-frequency signal and weekly the phase pulse number reach preset threshold, and pulse waveform is when reaching pulse width and frequency, the Threshold Alerts signal that is sent automatically by CPU (central processing unit).Computer system can estimate the operation characteristic and the life loss of transformer according to the analysis result of comprehensive monitoring data.

The beneficial effects of the utility model are: by sound, partial discharge monitoring and the analysis to the transformer running status, make relevant managerial personnel can in the office computer of oneself, grasp the running status that each station owner becomes at any time, so that in time make decisions, trouble-saving generation.This device helps power plant, transformer station to realize truly unmanned, can minimizing accident and maintenance cost, realize status monitoring.

Description of drawings

Fig. 1 is a structural representation of the present utility model.

Embodiment

Describe embodiment of the present utility model in detail below in conjunction with accompanying drawing.

As shown in Figure 1, below in conjunction with description of drawings embodiment of the present utility model.

Transformer running status sound of the present utility model, partial discharge monitoring and analytical equipment, it is characterized in that by computing machine 6, the CPU (central processing unit) 5 that is connected of computing machine 6 therewith, respectively therewith CPU (central processing unit) 5 be connected be located at transformer sound transducer collecting unit 2 in the transformer 3, being located at the transformer 3 outer acoustic scene sound sensor collecting unit 1 high frequency acoustic sensors 4 outer with being located at oil tank of transformer forms, be provided with the graphical display function module in the described computing machine 6, the trend analysis functional module, data sheet functional module and warning function module, described CPU (central processing unit) 5 is made of a kind of central processing unit and real time operating system of reduced instruction set computer RISC framework, described transformer sound transducer collecting unit 2 is super broadband antidetonation type optical fiber transformer sound transducer collecting unit, and described acoustic scene sound sensor collecting unit 1 is super broadband antidetonation type optical fiber transformer sound transducer collecting unit.

The current/voltage-converted type sensor that described high frequency acoustic sensor 4 is permalloy or ferrite core.

Transformer sound transducer collecting unit 2 is gathered the sound of the running status of transformer 3 in real time, described acoustic scene sound sensor collecting unit 1 is gathered near transformer 3 on-the-spot sound, near the voice signal of the running status of the transformer 3 that collects and the transformer scene voice signal passes to described CPU (central processing unit) 5 simultaneously, the reduced instruction set computer RISC of this CPU (central processing unit) 5 is by the analysis to two kinds of signals, filter on-the-spot background sound, obtain the sound of transformer running status thus.High frequency acoustic sensor 4 gather in real time that partial discharge of transformer or arc discharge produced the transient state voice signal pass to described CPU (central processing unit) 5.CPU (central processing unit) 5 passes to computing machine 6 with the transient state voice signal that sound and partial discharge of transformer or arc discharge produced of resultant transformer running status, carry out graphic presentation, trend analysis, organized data form respectively after graphical display function module in the machine 6, trend analysis functional module, data sheet functional module and warning function module are handled respectively as calculated, in time send alerting signal when finding alarm condition.

Transformer running status sound of the present utility model, shelf depreciation are carried out on-line monitoring and analytical equipment, the ultrasound wave figure that can show operating sound numerical value of transformer and shelf depreciation in real time, and can provide indication and record to the abnormality of transformer.

Claims (3)

1. a transformer running status sound, partial discharge monitoring and analytical equipment, it is characterized in that by computing machine, the CPU (central processing unit) that is connected of computing machine therewith, respectively therewith CPU (central processing unit) be connected be located at transformer sound transducer collecting unit in the transformer, be located at the outer acoustic scene sound sensor collecting unit of transformer and be located at the outer high frequency acoustic sensor of oil tank of transformer and form.
2. transformer running status sound according to claim 1, partial discharge monitoring and analytical equipment, it is characterized in that described transformer sound transducer collecting unit is super broadband antidetonation type optical fiber transformer sound transducer collecting unit, described acoustic scene sound sensor collecting unit is super broadband antidetonation type optical fiber transformer sound transducer collecting unit.
3. transformer running status sound according to claim 1, partial discharge monitoring and analytical equipment is characterized in that the current/voltage-converted type sensor that described high frequency acoustic sensor is permalloy or ferrite core.
CN2010206437211U 2010-12-07 2010-12-07 Running status voice and local electro-discharge online monitoring and analyzing device of transformer CN201909667U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010206437211U CN201909667U (en) 2010-12-07 2010-12-07 Running status voice and local electro-discharge online monitoring and analyzing device of transformer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010206437211U CN201909667U (en) 2010-12-07 2010-12-07 Running status voice and local electro-discharge online monitoring and analyzing device of transformer

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102445619A (en) * 2011-11-17 2012-05-09 北京交通大学 Power transformer on-line state monitoring system based on audio information
CN102495320A (en) * 2011-12-21 2012-06-13 鞍钢集团矿业公司 Dynamic monitoring system and on-line monitoring method of transformer operation exception
CN102692887A (en) * 2011-09-14 2012-09-26 吉林省电力有限公司通化供电公司 Device for monitoring online state of power transformer based on audio identification technology
CN103323652A (en) * 2013-06-04 2013-09-25 国家电网公司 Transformer electrification detecting device
CN103472350A (en) * 2013-08-27 2013-12-25 武汉百楚科技有限公司 Transformer diagnosis system and diagnosis method
CN104237682A (en) * 2014-09-02 2014-12-24 国家电网公司 Transformer abnormal sound analysis device
CN107247203A (en) * 2017-07-10 2017-10-13 佛山杰致信息科技有限公司 A kind of transformer fault detection method and device
CN110738334A (en) * 2019-10-21 2020-01-31 邹威 multi-platform information interaction electric power safety production management system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102692887A (en) * 2011-09-14 2012-09-26 吉林省电力有限公司通化供电公司 Device for monitoring online state of power transformer based on audio identification technology
CN102445619A (en) * 2011-11-17 2012-05-09 北京交通大学 Power transformer on-line state monitoring system based on audio information
CN102495320A (en) * 2011-12-21 2012-06-13 鞍钢集团矿业公司 Dynamic monitoring system and on-line monitoring method of transformer operation exception
CN103323652A (en) * 2013-06-04 2013-09-25 国家电网公司 Transformer electrification detecting device
CN103472350A (en) * 2013-08-27 2013-12-25 武汉百楚科技有限公司 Transformer diagnosis system and diagnosis method
CN104237682A (en) * 2014-09-02 2014-12-24 国家电网公司 Transformer abnormal sound analysis device
CN107247203A (en) * 2017-07-10 2017-10-13 佛山杰致信息科技有限公司 A kind of transformer fault detection method and device
CN110738334A (en) * 2019-10-21 2020-01-31 邹威 multi-platform information interaction electric power safety production management system

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CP01 Change in the name or title of a patent holder

Address after: 114001 Anshan District, Liaoning, No. 219 Road, No. 39, Tiedong

Patentee after: Anshan Iron and Steel Group Mining Co., Ltd.

Address before: 114001 Anshan District, Liaoning, No. 219 Road, No. 39, Tiedong

Patentee before: Anshan Iron & Steel Group Mining Co., Ltd.

C56 Change in the name or address of the patentee